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Panelica

panelica-mcp

Official
by Panelica

panelica_git_post_v1_git_repositories_id_deploy

Trigger deployment of a Git repository by its ID, applying the committed changes to the hosted application. Use this action to start the deploy process directly.

Instructions

Trigger deployment

HTTP: POST /v1/git/repositories/:id/deploy Category: Git Required scopes: git:write Mutating: changes server state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesPath parameter: id
bodyNoRequest body (application/json). Schema not statically declared — see API docs.
Install Server

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already signal readOnly=false, destructive=false, and idempotent=false. The description adds a generic 'Mutating: changes server state' note which is consistent with the annotations, but it does not disclose side effects such as async deployment behavior, production impact, or the ability to cancel. It adds some context but not rich behavioral detail.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief and front-loaded with the core action 'Trigger deployment'. HTTP method, category, required scope, and mutation flag are compactly listed with no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a non-idempotent, state-changing operation with an open body schema and no output schema, the description leaves too much unspecified: what the body should contain, how the deployment behaves, and what response to expect. An agent cannot confidently construct a correct request or understand the outcome from this description alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the two properties, so the baseline is 3. The description itself adds no parameter detail; the id is self-explanatory, while the body is explicitly described as having no statically declared schema. The body's meaning is left wholly to API docs, which is a real gap but not compensated by the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Trigger deployment' names a verb and resource, so it is not a pure tautology, but it closely mirrors the tool name and title and gives no detail on what a deployment entails. It also fails to distinguish this from sibling git actions like triggering pipelines or rolling back a deployment.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives such as fetch, pull, rollback, or pipeline triggers. It states required scopes and that it is mutating, but these are authentication and effect notes, not usage selection criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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